Two-stage Training of Graph Neural Networks for Graph Classification

10 November 2020

Papers citing "Two-stage Training of Graph Neural Networks for Graph Classification"

7 / 7 papers shown

Title
TUDataset: A collection of benchmark datasets for learning with graphs Christopher Morris Nils M. Kriege Franka Bause Kristian Kersting Petra Mutzel Marion Neumann 111 802 0 16 Jul 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud Weijing Shi Ragunathan R. Rajkumar 3DPC 191 738 0 02 Mar 2020
Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks Jiahao Liu Guixiang Ma Fei Jiang Chun-Ta Lu Philip S. Yu A. Ragin 90 26 0 08 Nov 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 52 1,073 0 11 May 2019
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 116 4,772 0 17 Mar 2017
Convolutional Networks on Graphs for Learning Molecular Fingerprints David Duvenaud D. Maclaurin J. Aguilera-Iparraguirre Rafael Gómez-Bombarelli Timothy D. Hirzel Alán Aspuru-Guzik Ryan P. Adams GNN 125 3,337 0 30 Sep 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 222 13,079 0 12 Mar 2015